GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

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Showing 32021–32040 of 36620 papers

CN2026#Hydrogen

Reconfiguring flexibility in renewable power-to-ammonia systems using molten-salt thermal energy storage in the ammonia synthesis loop: A coordinated electro-hydrogen-thermal scheduling approach

Yiwei Qiu, Qingjie Sun, Yangjun Zeng +11

This study integrates molten-salt thermal energy storage (MS-TES) into the Haber-Bosch ammonia synthesis loop for renewable power-to-ammonia systems. It develops a coordinated electro-hydrogen-thermal scheduling framework that decouples hyd…

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Peer-reviewedJournalIEEE Transactions on Sustainable Energy2026#HydrogenDOI

Temporally Coordinated Operation of Green Multi-Energy Airport Microgrids With Climatic Correlations and Flexible Loads via Decomposed Stochastic Programming

Zhongtian Li, Patrik Hilber, Zhengmao Li +2

This paper proposes a two-stage stochastic programming model for optimizing green multi-energy airport microgrids (MEAM) that integrate electricity, hydrogen, and thermal energy. It uses copula to capture climatic correlations and an adapte…

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Peer-reviewedJournalUPRAVLENIE / MANAGEMENT (Russia)2026#Renewable EnergyDOI

Comprehensive technical and economic assessment of competing renewable sources and prospects for green energy development in Vietnam

M. Nguyen, T. Ponomarenko, V. T. Nguyen

This study assesses renewable energy potential in Vietnam for energy transition, covering solar, wind, small hydro, and biomass. It develops a comprehensive feasibility methodology using technical, economic, social, and environmental criter…

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Peer-reviewed🇺🇸 USAJournalEPRA International Journal of Climate and Resource Economic Review2026#Energy EfficiencyDOI

ENERGY EFFICIENCY IN U.S. CONSTRUCTION: A SYSTEMATIC REVIEW AND THEMATIC SYNTHESIS OF GREEN BUILDING TECHNOLOGIES AND PERFORMANCE OUTCOMES

Ayotunde Daniel Akindele

This systematic review of 22 U.S. studies on green building technologies (2011-2025) shows that targeted HVAC and envelope retrofits achieve reliable energy savings (57-61% HVAC reduction, 47% whole-home savings), while LEED certification e…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalIEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING2026#Energy TransitionDOI

Optimized Scheduling of Electricity‐Hydrogen‐Ammonia‐Carbon Integrated Energy System Based on Distributionally Robust Optimization

Wang Zhibo, Haijun Xing, Yang Kun +3

This paper proposes a distributionally robust optimization scheduling method for an electricity-hydrogen-ammonia-carbon integrated energy system, addressing wind-solar uncertainties and multi-energy collaboration. It models renewable uncert…

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Peer-reviewedJournalBiomass Conversion and Biorefinery2026#HydrogenDOI

Hydrothermal liquefaction and gasification of industrial waste algae: experimental and AI-Assisted optimization for biofuel and hydrogen production

Deepankumar S, Senthil Kumar K L

This study explores hydrothermal liquefaction and gasification of industrial waste algae for biofuel and hydrogen production, using AI-assisted optimization to enhance process efficiency. Experimental data combined with machine learning mod…

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Peer-reviewedCNJournalFrontiers in Energy Research2026#HydrogenDOI

Development of hydrogen energy and estimation of policy subsidy intensity: a benchmarking analysis based on wind and solar energy development

Haoshuai Jia, Hai Jiang, Wangyinhao Chen +2

This paper benchmarks China's wind and solar policy to estimate optimal subsidy intensity for hydrogen energy. It constructs a model showing an 18% learning rate achieves balance, and proposes policies including green hydrogen certification…

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